Top R Frameworks & Libraries for parallel computing
Towards a framework for parallel computing with raster and other geospatial data objects in R.
An R package for easy parallel computing, logging, and function call automation.
The approach of ensemble spatiotemporal mixed models is to make reliable estimation of air pollutant concentrations at high resolutions. (1) Extraction of covar...
Perform parallel computing on clusters with R language
Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation...
:exclamation: This is a read-only mirror of the CRAN R package repository. runjags — Interface Utilities, Model Templates, Parallel Computing Methods and Addition...
Optimisation du code implémenté dans le package "enercast forked from cugliari/enercast"
Repository for the course "Parallel computing for data science" - M2DM Univ Lyon 2.
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel....
Lee, Byungwook, and Doheon Lee developed a similarity measure for protein domain architectures. This is based on precomputed ‘domain weights’. The ‘generate_domain...
It is a challenge for investors to forecast the option prices, invest in it and earn fruitful profits. The derivative markets such as option market give some flexi...
An R package implementing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS...